Practical Exercise: Trace One Batch in 30 Minutes

Businesses Can Test Their Current System with a Simple Exercise

Randomly select one shipment that was sold within the past three to six months.

Then, ask your team to find the following information:

  • Batch code.
  • Customer who purchased the shipment.
  • Delivery date.
  • Delivered quantity.
  • Warehouse from which the shipment was dispatched.
  • Quality results.
  • Production or processing date.
  • Input quantity.
  • Raw material source.
  • Relevant farmers or growing areas.
  • Weighing records.
  • Certificates or supporting documents.
  • The person who verified each step.

During the process, record the following:

  • How long did it take to retrieve the complete set of records?
  • How many people had to be consulted?
  • How many different locations or systems contained the data?
  • Was there any conflicting information?
  • Were there files for which the official version could not be identified?
  • Were there any discrepancies in the figures?
  • Was any information based solely on memory?

If a business cannot trace a single batch within a reasonable amount of time, adding more QR codes should not be the priority.

The priority should be to fix the underlying data flow.

A Basic Traceability Checklist

Businesses can conduct a self-assessment using the following questions:

Identification

  • Does each farmer have a unique identification code?
  • Does each growing area have a unique code?
  • Does each batch have a unique identifier?
  • Are the codes used consistently across departments?

Data

  • Are date, location, and quantity recorded?
  • Is input data linked to output data?
  • Is there a record of batch splitting or blending?
  • Are quality results linked to the relevant batch code?

Evidence

  • Are weighing records available?
  • Are photos or written records available?
  • Are certification documents properly stored?
  • Can the source of each data point be verified?

Responsibilities

  • Who enters the data?
  • Who verifies it?
  • Who has permission to modify it?
  • Is there an audit trail of changes?

Trace-back and Trace-forward

  • Can the business trace an order back to the growing area?
  • Can it trace a growing area forward to the customers who received the products?
  • Can affected batches be identified and isolated when an incident occurs?

If a business answers “no” to many of these questions, its existing traceability system needs to be strengthened before it is expanded.

Traceability Can Support Product Innovation

When data is properly connected, businesses can do more than simply prove product origin. They can also identify new opportunities.

For example, a business may discover that:

  • Certain growing areas consistently produce a specific flavor profile.
  • A particular processing method delivers better results for a specific variety.
  • A group of farmers has a lower defect rate.
  • Certain batches have the potential to meet specialty market requirements.
  • A group of customers responds positively to products with a clear story about their growing region.
  • A product line can command a higher price when supported by a complete traceability profile.

Based on these insights, businesses can develop:

  • Region-specific products.
  • Seasonal products.
  • Limited-edition product lines.
  • Coffee with distinctive flavor profiles.
  • Products connected to farming communities.
  • Products designed to meet specific sustainability requirements.

Traceability, therefore, is not simply a compliance cost.

It can become a foundation for product innovation and market strategy.

Traceability and Green Transformation Need the Same Data Foundation

Green transformation requires businesses to understand how their products are produced and where their impacts occur.

For example, if a business wants to reduce water consumption, it needs to know at which stage water is being used and which batches are affected.

If it wants to reduce transportation emissions, it needs to know where raw materials come from, which routes they travel through, and in what quantities.

If it wants to demonstrate responsible sourcing, it needs to link growing-area data to individual product batches.

Therefore, traceability and green transformation should not be implemented as two separate systems.

Both require:

  • Identification codes.
  • Origin data.
  • Quantity data.
  • Process data.
  • Supporting evidence.
  • Clearly assigned responsibilities.
  • The ability to verify and reconcile information.

If a business establishes a strong traceability data foundation, adding environmental and social indicators will become significantly easier.

Does Your Business Have a Large Amount of Data but No Clear Starting Point for Standardization?

KisStartup works with businesses to assess their current data landscape, identify operational bottlenecks, prioritize key challenges, and design a transformation roadmap that matches their actual resources and capabilities.

We do not start by selling software.

We start by working with businesses to identify which data can genuinely create value.

Contact KisStartup to explore our Data Consulting & Operational Optimization Program for businesses.

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